filler

Martial Ndeffo

Assistant Professor Department of Veterinary Integrative Biosciences
Contact
9798455646
TAMU Mailstop: 4458

Research and Scholarly Interests

  • Infectious Disease Dynamics and control
  • Epidemiology
  • Data analysis
  • Mathematical/Computational Modeling
  • Cost-effectiveness Analysis
  • Behavioral Modeling
  • Emerging Infectious Diseases
  • Neglected Tropical Diseases

Education

  • BSc., University of Yaounde 1, Cameroon, 2003, Mathematics
  • M.Sc. University of Stellenbosch, South Africa, 2005, Mathematics
  • M.A.ST. University of Cambridge, UK, 2006, Applied Mathematics
  • PhD University of Cambridge, UK, 2010, Mathematical Biology
  • Postdoctoral work: Yale University School of Public Health, 2010 – 2013

Biography

Dr. Ndeffo research objective is to develop and apply theoretical and practical data-driven modeling frameworks to address public health challenges for a wide range of infectious diseases and related health issues. He uses interdisciplinary modeling approaches to provide new perspectives to disease modeling and identification of optimal public health intervention policies. His research incorporates epidemiological, ecological, behavioral, socio-demographic, environmental, and economic factors to disease dynamics. Dr. Ndeffo has worked on a wide range of diseases including emerging diseases (Ebola, Zika), Neglected Tropical Diseases, HIV, Malaria, and vaccine-preventable diseases, among others. 

Epidemiology

Infectious Disease

Public Health

 

  • VIBS 688 - Epidemiology Modeling of Infectious Diseases  
  • VIBS 681 – Epidemiology Seminar

Recent publications

Ndeffo-Mbah, M.L., Pandey, A. Global risk and elimination of yellow fever epidemic. Journal of Infectious Diseases, In Press

DeNegre AA, Ndeffo-Mbah M.L, Myers K, Fefferman NH. Emergence of antibiotic resistance in immunocompromised host populations: a case study of emerging antibiotic resistant tuberculosis in AIDS patients. PLoS ONE, 2019; 4(2), e0212969-e0212969.

Bartsch S, Avelis C, Asti L, Hertenstein D, Ndeffo-Mbah M, Galvani A, Lee B. The Economic Value of Identifying and Treating Chagas Disease Patients Earlier and the Impact on Trypanosoma cruzi Transmission. PLoS NTDs, 2018; 12(11): e0006809

Gurarie, D., Lo, N., Ndeffo-Mbah, M.L., Durham, D.P., King, C. The human-snail transmission environment shapes long term schistosomiasis control outcomes: implications for improving the accuracy of predictive modeling. PLoS NTDs, 2018; 12(5): e0006514

Lee B, Bartsch S, Skrip L, Hertenstein D, Avelis C, Ndeffo-Mbah ML, Tilchin C, Dumonteil E, Galvani A. Are the London Declaration's 2020 Goals Sufficient to Control Chagas Disease?: Modeling Scenarios for the Yucatan Peninsula. PLoS NTDs, 2018, 12(3): e0006337

Durham D, Fitzpatrick M, Ndeffo-Mbah, ML, Parpia A, Galvani AP. Evaluating Zika vaccination strategies in the Americas. Annals of Internal Medicine, 2018, 168(9):621-630

Rock K, Ndeffo-Mbah ML, Castano S, Palmer C, Pandey A, Atkins KE, Ndungu J, Hollingsworth TD, Galvani A, Bever C, Chitnis N, Keeling M. Assessing strategies against gambiense sleeping sickness through mathematical modeling. Clin Infect Dis, 2018, 66 (S4): S286–S292

Medley GF, Blok DJ, Crump RE, Hollingsworth DT, Galvani AP, Ndeffo-Mbah ML, Porco TC, Richardus JH. The policy lessons from quantitative modeling of leprosy. Clin Infect Dis, 2018, 66(suppl_4):S281-S285

Alsallaq, R.A., Gurarie, D., Ndeffo-Mbah, M.L., Galvani, A.P., King, C. Quantitative Assessment of the Impact of Partially Protective Anti-Schistosomiasis Vaccines. PLoS NTDs, 2017; 1(4): e0005544.

Bartsch, S.M., Peterson, J.K., Hertenstein, D.L., Skrip, L., Ndeffo-Mbah, M.L., Galvani, A.P., Dobson, A.P., Lee, B.Y. Comparison and validation of two compartmental models of Chagas disease: A thirty years’ perspective from Venezuela. Epidemics, 2017; 18: 81-91.

Block, D.J., Crump, R.E., Sundaresh, R., Ndeffo-Mbah, M.L., Galvani, A.P., Porco, T.C., de Vlas, S.J., Mdeley, G.F., Richardus, J.H. Forecasting the new case detection rate of leprosy in four states of Brazil: A comparison of modeling approaches. Epidemics, 2017; 18: 92-100.

Rock, K.S., Pandey, A., Ndeffo-Mbah, M.L., Katie, K.E., Lumbala, C., Galvani, A.P., Keeling, M.J. Data-driven models to predict the elimination of sleeping sickness in the former equateur province of DRC. Epidemics, 2017; 18: 101 - 112

Ndeffo-Mbah, ML., Parpia, A, Galvani, AP. Mitigating prenatal Zika infections in the Americas. Annals of Internal Medicine, 2016 Oct 18;165(8):551-559

Alfaro-Murillo, J., Parpia, A, Fitzpatrick, M. et al. A Cost-Effectiveness Tool for Informing Policies on Zika Virus Control. PLoS NTDs. 2016; 10(5): e0004743

Dolan, K., Wirtz, A., Moazen, B., Ndeffo Mbah, M.L., et al. Global burden of HIV, viral hepatitis and tuberculosis among prisoners and detainees. The Lancet, 2016 Sep 10;388(10049):1089-102

Ndeffo Mbah, M.L., Durham, D., Skrip, L. et al. Evaluating the effectiveness of localized control strategies to curtail Chikungunya. Scientific Reports. 2016, 6: doi: 10.1036/srep23997

Durham, D., Ndeffo Mbah, M.L., et al. The national and state level impact and cost-effectiveness of nonavalent HPV vaccination in the US. PNAS. 2016 ; doi: 10.1073/pnas.1515528113

Gilbert, J. Medlock, J. Townsend, J. Aksoy, S. Galvani, A*. Ndeffo-Mbah, ML*. Determinant of human African trypanosomiasis elimination via paratransgenesis. PLoS NTDs. 2016, 10(3): e0004465 (*These authors contributed equally to this work)

Pandey, A. Atkins, E.K. et al. Retrospective analysis of the 2014-2015 Ebola Epidemic in Liberia. Am J Trop Med Hyg. 2016, DOI: 10.4269/ajtmh.15-0328

 Parpia, A. * Ndeffo-Mbah, ML. * Wenzel, N. Galvani AP. Effects of response to 2014-2015 Ebola Outbreak on Malaria, HIV, and Tuberculosis in West Africa. Emerging Infectious Diseases. 2016, DOI: 10.3201/eid2203.150977 (*Joint first authors)

Complete List of Published Work from Scholars@tamu - http://scholars.library.tamu.edu/vivo/display/n7f958dd8